Melola Discovery

← Melola Discovery

Jurnal

Criminal Law Enforcement on Digital Identity Misuse in AI Era for Commercial Interests in Indonesia

The Indonesian Journal of International Clinical Legal Education · Vol. 7 No. 1 (2025) · hlm. 37–66

DOI
10.15294/iccle.v7i1.25525
ISSN
2721-8368
Terbit
2025-03-31
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

The rapid development of Artificial Intelligence (AI) technology particularly in the forms of deepfakes and voice cloning has significantly impacted the lives of Indonesians. While AI offers various conveniences and innovations, it also poses serious threats, especially the misuse of digital identities for commercial purposes. This study aims to analyze the adequacy and effectiveness of Indonesia's criminal law, particularly the Indonesian Criminal Code and Law No. 11 of 2008 on Electronic Information and Transactions (ITE Law), in addressing AI-based digital identity crimes. Using a normative juridical approach, this research finds that current legal frameworks do not specifically regulate AI-related offenses. As a result, perpetrators often exploit legal and technological loopholes to avoid prosecution. The consequences of these crimes are far-reaching, including financial losses, reputational damage, and psychological trauma for victims. The study recommends revising the ITE Law, strengthening personal data protection, forming an AI-based digital forensics task force, and fostering cross-sectoral collaboration to combat digital identity crimes without stifling technological innovation.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 180 tautan kepenulisan bersama · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Rasdi RasdiAfiliasi tidak diketahui14
Waspiah WaspiahAfiliasi tidak diketahui13
Anis WidyawatiAfiliasi tidak diketahui11
Riska AlkadriAfiliasi tidak diketahui11
Ngboawaji Daniel NteAfiliasi tidak diketahui9
Dian LatifianiAfiliasi tidak diketahui9
Septhian Eka AdiyatmaAfiliasi tidak diketahui9
Rodiyah RodiyahAfiliasi tidak diketahui8
Nadiyah Meyliana PutriAfiliasi tidak diketahui8
Nurul FibriantiAfiliasi tidak diketahui7
Muhammad Iqbal BaiquniAfiliasi tidak diketahui7
Bayangsari WedhatamiAfiliasi tidak diketahui7
Indah Sri UtariAfiliasi tidak diketahui7
Ali MasyharAfiliasi tidak diketahui6
R Benny RiyantoAfiliasi tidak diketahui5
Asyaffa Ridzqi AmandhaAfiliasi tidak diketahui5
Riki JuliantoAfiliasi tidak diketahui5
Muhammad Azil MaskurAfiliasi tidak diketahui4
Sonny Saptoajie WicaksonoAfiliasi tidak diketahui4
Karsinah KarsinahAfiliasi tidak diketahui4
Bintang Rafli AnantaAfiliasi tidak diketahui4
Zainurohmah ZainurohmahAfiliasi tidak diketahui4
Fitria DamayantiAfiliasi tidak diketahui4
Muhammad Wahyu Saiful HudaAfiliasi tidak diketahui4
Ngaboawaji Daniel NteAfiliasi tidak diketahui4
Syaiful AminAfiliasi tidak diketahui3
Ahsana NadiyyaAfiliasi tidak diketahui3
Asmarani RamliAfiliasi tidak diketahui3
Dewi Puspa SariAfiliasi tidak diketahui3
Layla Putri AulyaAfiliasi tidak diketahui3
Robert Brian SmithAfiliasi tidak diketahui3
Raden Muhammad Arvy IlyasaAfiliasi tidak diketahui3
Heni RosidaAfiliasi tidak diketahui3
Siti Hafsyah IdrisAfiliasi tidak diketahui3
Umi AfiatunAfiliasi tidak diketahui3
Izan Mateo CassandroAfiliasi tidak diketahui3
Heru SetyantoAfiliasi tidak diketahui3
Shofriya Qonitatin AbidahAfiliasi tidak diketahui2

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/iccle/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Criminal Law Enforcement on Digital Identity Misuse in AI Era for Commercial Interests in Indonesia</dc:title>
	<dc:creator xml:lang="en">Dwiandari, Ameena Syifa</dc:creator>
	<dc:creator xml:lang="en">Arifin, Ridwan</dc:creator>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en">Identity Misuse</dc:subject>
	<dc:subject xml:lang="en">Law Enforcement</dc:subject>
	<dc:description xml:lang="en">The rapid development of Artificial Intelligence (AI) technology particularly in the forms of deepfakes and voice cloning has significantly impacted the lives of Indonesians. While AI offers various conveniences and innovations, it also poses serious threats, especially the misuse of digital identities for commercial purposes. This study aims to analyze the adequacy and effectiveness of Indonesia's criminal law, particularly the Indonesian Criminal Code and Law No. 11 of 2008 on Electronic Information and Transactions (ITE Law), in addressing AI-based digital identity crimes. Using a normative juridical approach, this research finds that current legal frameworks do not specifically regulate AI-related offenses. As a result, perpetrators often exploit legal and technological loopholes to avoid prosecution. The consequences of these crimes are far-reaching, including financial losses, reputational damage, and psychological trauma for victims. The study recommends revising the ITE Law, strengthening personal data protection, forming an AI-based digital forensics task force, and fostering cross-sectoral collaboration to combat digital identity crimes without stifling technological innovation.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-03-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/iccle/article/view/25525</dc:identifier>
	<dc:identifier>10.15294/iccle.v7i1.25525</dc:identifier>
	<dc:source xml:lang="en">The Indonesian Journal of International Clinical Legal Education; Vol. 7 No. 1 (2025): March; 37-66</dc:source>
	<dc:source>2721-8368</dc:source>
	<dc:source>10.15294/iccle.v7i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/iccle/article/view/25525/4582</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 The Indonesian Journal of International Clinical Legal Education</dc:rights>
</oai_dc:dc>